About
Welcome to my technical portfolio! I’m a dedicated engineering student passionate about bridging the gap between innovative technology and practical solutions.
Currently pursuing dual majors in Engineering and Economics at Harvey Mudd College, with hands-on experience in ML/AI product management at Apple and Ford Motor Company. I bring both technical rigor and business acumen to every project.
Education
Harvey Mudd College
Claremont, CA
Dual Major: Engineering & Economics
Expected Graduation: 2026
Current Coursework:
- E155: Microcontrollers & FPGA Design - Learning embedded systems and digital design
- Digital Electronics - Circuit design and analysis fundamentals
- Product Management - Understanding business strategy and market analysis
- Economic Analysis - Quantitative methods and decision-making frameworks
Technical Focus:
- Embedded systems development and FPGA programming
- ARM assembly language optimization and real-time systems
- Digital circuit design and hardware-software integration
- Performance optimization and system debugging
Professional Experience
Apple - Manufacturing ML Embedded Systems
August 2025 - Present | Cupertino, CA
Ford Motor Company - Technical Product Manager AI-ML
May 2025 – August 2025 | Palo Alto, CA
- Drove requirements for cross-functional collaboration with 40+ ML engineers and UX teams
- Delivered executive demo prototype evaluating embedded and cloud AI LLM/SLM models
- Influenced $200M+ third-party contract through strategic product development
- Led development of custom language model with cloud fallback for real-time interactions
Ford Motor Company - Data Science Intern
May 2024 – August 2024 | Palo Alto, CA
- Integrated Vehicle Energy Model into Android Auto across 20,000+ E-Transit vans
- Automated hyperparameter tuning workflows, boosting SOC prediction accuracy by 18%
- Collaborated with Apple CarPlay UX and SYNC teams for 200,000+ vehicles
My Full Story
I’m a dedicated engineering student passionate about bridging the gap between innovative technology and practical solutions. My journey combines hands-on experience in ML/AI product management with deep technical expertise in embedded systems.
Technical Expertise:
- Python, SQL, BigQuery, TensorFlow, Retrieval-Augmented Generation (RAG)
- Embedded systems development and FPGA programming
- Product management, A/B testing, and data-driven decision making
- Cross-functional collaboration and stakeholder management
Future Vision:
I’m excited to continue exploring the intersection of AI/ML and embedded systems, creating solutions that not only solve technical challenges but also drive real business value.
Email: estralka@hmc.edu